Exponential increases in data volumes have forced the data architect and analyst to build much larger and distributed data environments — potentially comprised of hundreds, and sometimes even thousands of servers and switches. Scaling to these cluster sizes does not come without challenges in terms of costs, security and integration with existing infrastructure.
The combination of the Hortonworks Data Platform (HDP) and Cisco UCS allows IT departments and business decisions makers to adopt a new, cost-effective management, massively scalable and secure approach to data within the enterprise. Apache Hadoop provides the open source framework for distributed storage and processing of large sets of data on commodity hardware, so companies now quickly gain insight from their massive amounts of structured and unstructured data for a fraction of the price of traditional approaches.
The point is not to replace the current data infrastructure. Instead, Hadoop allows to optimize the use of the existing system and move appropriate workloads to Hadoop as a complementary component in their “modern data architecture”. Organizations leverage Apache Hadoop to manage all their enterprise data at high scale while integrating with and complementing their existing systems. With this new approach, CISCO and Hortonworks allow organizations to:
Apache Hadoop has become a strategic data platform as it offers the fastest path for businesses to unlock value in big data while maximizing existing investments. The Hortonworks Data Platform (HDP) is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor. The combination of HDP and Cisco UCS provides industry-leading platform for Hadoop based applications. YARN, the data operating system within Hadoop, makes it possible to store a pool of data in one cluster and access them with a variety of processing engines. This means that your organization can get more value out of their data and their Hadoop infrastructure.